The geometric transfer function is a generic term applied to all input-tooutput transformations concerning replication of target geometry. System geometric performance includes field of view, distortion, and scan linearity. With an ideal imaging system, the image seen on the monitor will be an exact representation of the object in every geometric respect. Automated vision systems (machine vision) rely on geometric transfer properties in that the output is derived from the target geometry: measuring shape, size, motion, or counting objects. These systems have applications in a variety of fields such as aerospace (trackers, correlators, and automatic target recognizers), manufacturing (pattern recognition, part location, part inspection, quality control, and guidance of robots), and medicine and biology (cell counting and identification).
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